Automatic Premature Ventricular Contraction Detection Using Deep Metric Learning and KNN
نویسندگان
چکیده
منابع مشابه
Automatic Detection of Premature Ventricular Contraction Using Quantum Neural Networks
Premature ventricular contractions (PVCs) are ectopic heart beats originating from ventricular area. It is a common form of heart arrhythmia. Electrocardiogram (ECG) recordings have been widely used to assist cardiologists to diagnose the problem. In this paper, we study the automatic detection of PVC using a fuzzy artificial neural network named Quantum Neural Network (QNN). With the quantum n...
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Detection and classification of ventricular complexities from the electrocardiogram (ECG) is of considerable importance in critical care and patient monitoring for the timely diagnosis of dangerous heart conditions. Accurate detection of premature ventricular contractions (PVCs) is particularly important in relation to life-threatening arrhythmias. Model based approach for detection of PVC is a...
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ژورنال
عنوان ژورنال: Biosensors
سال: 2021
ISSN: 2079-6374
DOI: 10.3390/bios11030069